Clustering of mixed-type data considering concept hierarchies: problem specification and algorithm S Behzadi, NS Müller, C Plant, C Böhm International Journal of Data Science and Analytics 10 (3), 233-248, 2020 | 15 | 2020 |
Spectral clustering of attributed multi-relational graphs Y Sadikaj, Y Velaj, S Behzadi, C Plant Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 12 | 2021 |
Parameter free mixed-type density-based clustering S Behzadi, MA Ibrahim, C Plant Database and Expert Systems Applications: 29th International Conference …, 2018 | 11 | 2018 |
Utilizing structure-rich features to improve clustering B Schelling, LGM Bauer, S Behzadi, C Plant Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 8 | 2021 |
Granger causality for heterogeneous processes S Behzadi, K Hlaváčková-Schindler, C Plant Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 8 | 2019 |
Clustering of mixed-type data considering concept hierarchies S Behzadi, NS Müller, C Plant, C Böhm Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 6 | 2019 |
ITGH: Information-theoretic Granger Causal Inference on Heterogeneous Data S Behzadi, B Schelling, C Plant Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2020 | 4 | 2020 |
Dependency anomaly detection for heterogeneous time series: A Granger-Lasso approach S Behzadi, K Hlavácková-Schindler, C Plant 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 1090-1099, 2017 | 4 | 2017 |
The Data Mining Group at University of Vienna: Clustering, Causality, Massive Data and Applications C Altinigneli, LGM Bauer, S Behzadi, R Fritze, K Hlaváčková-Schindler, ... Datenbank-Spektrum 20, 71-79, 2020 | 1 | 2020 |
ITGC: Information-theoretic grid-based clustering S Behzadi, H Hinterhauser, C Plant International Conference on Extending Database Technology (EDBT), 2019 | 1 | 2019 |